Discriminating marine oil spill pollution by using ocean water surface texture

2011 ◽  
Author(s):  
Xiafen Zhang
Keyword(s):  
Oil Spill ◽  
Surface Texture ◽  
Water Surface ◽  
Ocean Water ◽  
Marine Oil

scholarly journals The Mauritius Oil Spill: What’s Next?

Pollutants ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 18-28
Author(s):  
Davide Seveso ◽  
Yohan Didier Louis ◽  
Simone Montano ◽  
Paolo Galli ◽  
Francesco Saliu
Keyword(s):  
Indian Ocean ◽  
Coral Reefs ◽  
Oil Spill ◽  
Local Population ◽  
Marine Ecosystems ◽  
Mangrove Forests ◽  
Biological Impact ◽  
Marine Oil ◽  
Restoration Techniques

In light of the recent marine oil spill that occurred off the coast of Mauritius (Indian Ocean), we comment here the incident, the containment method used by the local population, the biological impact of oil spill on two sensitive tropical marine ecosystems (coral reefs and mangrove forests), and we suggest monitoring and restoration techniques of the impacted ecosystems based on recent research advancements.

scholarly journals Integrating marine oil snow and MOSSFA into oil spill response and damage assessment

2021 ◽  
Vol 165 ◽  
pp. 112025
Author(s):  
Jesse Ross ◽  
David Hollander ◽  
Susan Saupe ◽  
Adrian B. Burd ◽  
Sherryl Gilbert ◽  
...  
Keyword(s):  
Oil Spill ◽  
Damage Assessment ◽  
Marine Oil ◽  
Oil Spill Response

scholarly journals Marine Oil Slick Detection Using Improved Polarimetric Feature Parameters Based on Polarimetric Synthetic Aperture Radar Data

2021 ◽  
Vol 13 (9) ◽  
pp. 1607
Author(s):  
Guannan Li ◽  
Ying Li ◽  
Yongchao Hou ◽  
Xiang Wang ◽  
Lin Wang
Keyword(s):  
Synthetic Aperture Radar ◽  
Oil Spill ◽  
Synthetic Aperture ◽  
Polarimetric Synthetic Aperture Radar ◽  
Synthetic Aperture Radar Data ◽  
Marine Oil ◽  
Oil Spill Detection ◽  
Oil Slick ◽  
Feature Parameters ◽  
Aperture Radar

Marine oil spill detection is vital for strengthening the emergency commands of oil spill accidents and repairing the marine environment after a disaster. Polarimetric Synthetic Aperture Radar (Pol-SAR) can obtain abundant information of the targets by measuring their complex scattering matrices, which is conducive to analyze and interpret the scattering mechanism of oil slicks, look-alikes, and seawater and realize the extraction and detection of oil slicks. The polarimetric features of quad-pol SAR have now been extended to oil spill detection. Inspired by this advancement, we proposed a set of improved polarimetric feature combination based on polarimetric scattering entropy H and the improved anisotropy A12–H_A12. The objective of this study was to improve the distinguishability between oil slicks, look-alikes, and background seawater. First, the oil spill detection capability of the H_A12 combination was observed to be superior than that obtained using the traditional H_A combination; therefore, it can be adopted as an alternate oil spill detection strategy to the latter. Second, H(1 − A12) combination can enhance the scattering randomness of the oil spill target, which outperformed the remaining types of polarimetric feature parameters in different oil spill scenarios, including in respect to the relative thickness information of oil slicks, oil slicks and look-alikes, and different types of oil slicks. The evaluations and comparisons showed that the proposed polarimetric features can indicate the oil slick information and effectively suppress the sea clutter and look-alike information.

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